Artificial intelligence in lung cancer: Application and future thinking.
10.11817/j.issn.1672-7347.2022.210645
- Author:
Wei ZHAO
1
;
Jun LIU
2
Author Information
1. Department of Radiology, Second Xiangya Hospital, Central South University, Changsha 410011, China. wei.zhao@csu.edu.cn.
2. Department of Radiology, Second Xiangya Hospital, Central South University, Changsha 410011, China. junliu123@csu.edu.cn.
- Publication Type:Journal Article
- Keywords:
artificial intelligence;
convolutional neural network;
deep learning;
lung cancer
- MeSH:
Artificial Intelligence;
Humans;
Lung Neoplasms/diagnostic imaging*;
Prognosis
- From:
Journal of Central South University(Medical Sciences)
2022;47(8):994-1000
- CountryChina
- Language:English
-
Abstract:
The availability of medical big data and the rapid development of computer software and hardware have greatly promoted the advancement of intelligent medical healthcare. Artificial intelligence (AI) has been successfully applied in many fields of medicine, especially in lung cancer. The performance of AI in some specific tasks has surpassed that of humans. Several AI software has been deeply used in clinical practice to help decision-making, which is producing a profound influence on clinicians. At present, the application of AI in the field of lung cancer mainly includes detection, segmentation, classification, prognosis prediction, efficacy evaluation, and so on. AI faces certain challenges and opportunities in the era of big data in terms of data acquisition, annotation and interpretability. Researchers have conducted deep and extensive studies using AI in the field of lung cancer, and AI is expected to become a powerful assistant in the prevention and treatment of lung cancer. AI is bringing an unprecedented revolution to radiologists, but the role of radiologists is crucial in the development of AI.
